After a short - term load forecasting method based analogous and linear extrapolation is proposed , the load forecast and the priority of equipment action are led into static reactive power optimization . the aim function is constructed for the practical situation of power system . on the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved 在提出基于相似日和線性外推的短期負荷預(yù)測新方法的基礎(chǔ)上,將負荷預(yù)測和設(shè)備動作優(yōu)先級引入靜態(tài)無功優(yōu)化中,并結(jié)合電網(wǎng)實際情況,構(gòu)造了實用的目標(biāo)函數(shù),對遺傳算法的適應(yīng)度函數(shù)和群體多樣性的保持進行了改進,采用鄰域搜索算子增加遺傳算法的局部尋優(yōu)能力。